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Meditation as a bioactive intervention: evidence of translational potential via Connectivity Mapping and TMS neurophysiology

Aditi Joshi, Vignesh Muralidharan, Deep Patel, Mitali Mukerji

Frontiers in Human Neuroscience November 9, 2026 DOI: 10.3389/fnhum.2026.1904068 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Exploratory integrative analysis of clinical trial RNAseq data with connectivity mapping Peer reviewed
Sample size 106
Population Participants practicing inner engineering meditation
Intervention Inner engineering meditation
Duration Premeditation, meditation, and follow-up stages
Topics Meditation
Key findings Meditation-associated transcriptome signatures overlapped with over 438 drugs, predominantly those targeting neuroactive ligand-receptor pathways capable of modulating excitation-inhibition balance, including GABA and glutamate systems. The authors present this as hypothesis-generating rather than causal, proposing a model to test associations with neurophysiological measures.

Abstract

Background: Meditation practices are often used as non-pharmacological adjunct therapy for managing stress and wellbeing benefits. Here, we investigate whether molecular signatures via meditation practices have potential overlap with those of known drug targets that have established neurophysiological relevance.

Method: We leverage the Connectivity Map (CMap) to investigate (a) the overlap between meditation-induced molecular signatures and established drug responses, and (b) the pathways and mechanisms contributing to meditation’s potential therapeutic effects. This was studied in a comprehensive temporal RNAseq dataset comprising premeditation, meditation, and follow-up stages from a clinical trial involving 106 participants practizing inner engineering meditation. With Multiple Correspondence Analysis (MCA), we then examined how overlapping neuroactive drug classes identified from a systematic-literature search derived pharmaco-Transcranial Magnetic Stimulation (TMS) responses and CMap results co-occurred within a shared latent space.

Results: Meditation associated signatures overlapped with over 438 drugs, but predominantly with drugs targeting the neuroactive ligand interaction receptor pathways, capable of modulating the brain’s excitation-inhibition (E/I) balance. We found that meditation associated transcriptome signatures showed connectivity with drugs targeting the GABA, glutamine and other neuromodulatory system pathways. This pattern was further corroborated by Multiple Correspondence Analysis (MCA) of drugs from pharmaco-TMS studies and CMap, which revealed distinct temporal patterns of these drug classes across meditation stages.

Conclusion: This integrative approach offers a molecular lens to view meditation’s potential neurophysiological effects. Rather than establishing causal mechanisms, our findings are intended to generate hypotheses: how meditation-associated molecular pathway changes might relate to shifts in E/I balance. We propose a working model to test these associations directly using neurophysiological measures, with the eventual goal of informing evidence-based clinical applications. Overall, these exploratory findings have increased the potential possibility to correlate meditation with biologically relevant molecular and neurophysiological correlates, hence, providing an additional dimension to meditation’s currently established characterization as a psychological and contemplative practice.

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